65 citations · 65 across the 2 of their papers we have counts for
2 papers
stat.AP2018
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks
Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks +8
Water infrastructure in the United States is beginning to show its age, particularly through water main breaks. Main breaks cause major disruptions in everyday life for residents a…
cs.AI2016★ 65 cited
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation
Kevin H. Wilson, Yan Karklin, Bojian Han +1
Estimating student proficiency is an important task for computer based learning systems. We compare a family of IRT-based proficiency estimation methods to Deep Knowledge Tracing (…